DronLomaly: Runtime Detection of Anomalous Drone Behaviors via Log Analysis and Deep Learning. - Lwin Khin Shar; Wei Minn; Ta Nguyen Binh Duong; Jiani Fan; Lingxiao Jiang; Daniel Lim Wai Kiat (APSEC, 2022)

Differentiated Security Architecture for Secure and Efficient Infotainment Data Communication in IoV Networks. - Jiani Fan; Lwin Khin Shar; Jiale Guo; Wenzhuo Yang; Dusit Niyato; Kwok-Yan Lam (NSS, 2022)

Cybersecurity Challenges Of IoT-enabled Smart Cities: A Survey. - Jiani Fan; Wenzhuo Yang; Kwok-Yan Lam (CoRR, 2022)

Privacy-Preserving Aggregation in Federated Learning: A Survey. - Ziyao Liu; Jiale Guo; Wenzhuo Yang; Jiani Fan; Kwok-Yan Lam; Jun Zhao 007 (CoRR, 2022)

A Practical Intrusion Detection System Trained on Ambiguously Labeled Data for Enhancing IIoT Security. - Wenzhuo Yang; Zhaowei Chu; Jiani Fan; Ziyao Liu; Kwok-Yan Lam (CPSS@AsiaCCS, 2023)

Differentiated Security in the Age of Cognitive Internet of Things (CIoT). - Jiani Fan; Kwok-Yan Lam; Dusit Niyato (ICDCS, 2023)

Privacy-Enhanced Knowledge Transfer with Collaborative Split Learning over Teacher Ensembles. - Ziyao Liu; Jiale Guo; Mengmeng Yang 002; Wenzhuo Yang; Jiani Fan; Kwok-Yan Lam (SecTL@AsiaCCS, 2023)

A Learning-based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles. - Jiani Fan; Minrui Xu; Ziyao Liu; Huanyi Ye; Chaojie Gu; Dusit Niyato; Kwok-Yan Lam (VTC Fall, 2023)

Understanding Security in Smart City Domains From the ANT-Centric Perspective. - Jiani Fan; Wenzhuo Yang; Ziyao Liu; Jiawen Kang 001; Dusit Niyato; Kwok-Yan Lam; Hongyang Du (IEEE Internet Things J., 2023)

Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-Based Federated Learning. - Jiyuan Shen; Wenzhuo Yang; Zhaowei Chu; Jiani Fan; Dusit Niyato; Kwok-Yan Lam (ICC, 2024)

Empirical Evaluation of Hyper-parameter Optimization Techniques for Deep Learning-based Malware Detectors. - Lwin Khin Shar; Ta Nguyen Binh Duong; Yao Cong Yeo; Jiani Fan (KES, 2024)

Decentralized Multimedia Data Sharing in IoV: A Learning-Based Equilibrium of Supply and Demand. - Jiani Fan; Minrui Xu; Jiale Guo; Lwin Khin Shar; Jiawen Kang 001; Dusit Niyato; Kwok-Yan Lam (IEEE Trans. Veh. Technol., 2024)

Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions. - Jiani Fan; Lwin Khin Shar; Ruichen Zhang; Ziyao Liu; Wenzhuo Yang; Dusit Niyato; Bomin Mao; Kwok-Yan Lam (CoRR, 2025)

Improving Security in IoT-Based Human Activity Recognition: A Correlation-Based Anomaly Detection Approach. - Jiani Fan; Ziyao Liu; Hongyang Du; Jiawen Kang 001; Dusit Niyato; Kwok-Yan Lam (IEEE Internet Things J., 2025)

Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks. - Minrui Xu; Jiani Fan; Xinyu Huang; Conghao Zhou; Jiawen Kang 001; Dusit Niyato; Shiwen Mao; Zhu Han 001; Xuemin Shen; Kwok-Yan Lam (CoRR, 2025)